Senior Data Scientist
Role details
Job location
Tech stack
Job description
As a Data Scientist, you will be developing, testing, and deploying advanced statistical and machine learning models to optimise customer premiums and support our pricing/UW/counter fraud strategy. You'll collaborate closely with pricing, underwriting, and commercial teams, as well as ML Engineers, to ensure models are implemented effectively and deliver measurable value. Activities will include:
- Building predictive and optimisation models to determine the best premium to offer across home, motor, and pet insurance products.
- Designing and running pricing experiments (including A/B tests and market tests) to understand customer behaviour, retention, and conversion.
- Developing real-time pricing and decisioning solutions that balance volume, profitability, and risk appetite.
- Working within a cross-functional squad (pricing managers, underwriters, ML engineers, analysts) to deliver pricing improvements and business outcomes.
- Influencing priorities using data-driven insights and quantifying the commercial impact of initiatives.
- Monitoring model performance and ensuring regulatory and fairness considerations are built into our pricing solutions.
- Being a champion of retail pricing science across the business, explaining the value of data-driven pricing strategies to non-technical stakeholders.
Requirements
Do you have experience in Underwriting?, * Experience developing and deploying statistical and machine learning models in the insurance retail pricing/counter fraud/UW context.
- Strong programming skills in Python, with a working knowledge of SQL, and experience analysing large, complex datasets.
- Strong knowledge of statistical modelling and optimisation techniques relevant to pricing and customer behaviour.
- A desire to interact with stakeholders (pricing, underwriting, product) and translate business needs into practical modelling solutions.
- Ability to design, monitor, and interpret pricing tests and experiments.
- Familiarity with software engineering best practices and writing efficient, production-ready code.
- Experience working with Pricing, underwriting or counterfraud within a UK general insurance market would be an advantage.
- Experience with cloud-based ML platforms such as GCP Vertex AI (or similar) is desirable.
Benefits & conditions
This role will be based in our London office in a 50/50 Hybrid mode.
We match your pension contributions up to 7%
Private medical & Dental cover
Learning budget of £1,000 a year + Study leave (with encouragement to use it)
Enhanced maternity & paternity
Travel season ticket loan
️ Access to a wide selection of London O2 events and use of a Private Lounge
Employee Wellbeing Programme
Prayer room in Office
What We Stand for and Next Steps
"We pride ourselves on being an equal opportunity employer. We treat all applications equally and recruit based solely on an individual's skills, knowledge, and experience. The quality and growing diversity of our team is a testament to this commitment"
At Policy Expert, we are committed to fostering an inclusive and supportive environment for all candidates. If you require any reasonable adjustments during the interview process to accommodate your needs, please do not hesitate to let us know. We are dedicated to ensuring every candidate has an equal opportunity to succeed and will work with you to provide the necessary support.
